Courses
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Featured
Essentials of Data Labeling & Annotation for AI Development
This course is designed to equip absolute beginners with the practical skills and hands-on experience needed to become professional data annotators in Africa’s fast-growing AI ecosystem.
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Human-in-the-Loop (HITL) QA & Data Quality Management
đź”° Course Introduction High-quality datasets are essential for training reliable and trustworthy AI models, and Human-in-the-Loop (HITL) systems play a critical role in ensuring that AI models learn from clean, accurate, and context-aware data. As AI adoption accelerates across Africa’s industries—from fintech to agriculture, logistics, healthcare, and government—the demand for skilled quality reviewers and data…
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LLM Fine-Tuning, Prompt Engineering & Model Evaluation
đź”° Course Introduction Large Language Models (LLMs) such as Llama, Mistral, and GPT have revolutionized how AI is developed, deployed, and used across the world. However, for these models to work effectively in contextual scenarios where languages, cultures, regulations, and user behaviors are unique, they must be fine-tuned, evaluated, and optimized using high-quality, localized datasets.…